AI & Automation in the Modern Workforce
How artificial intelligence and automation are reshaping roles, eliminating positions, and creating new opportunities across every industry.
The Automation Mindset
The automation mindset isn't about knowing how to code or which AI tool to use. It's about recognizing pain before it sets in — seeing that an hour of repetitive work could be five minutes of setup and five minutes of execution. The people who thrive in the AI era aren't necessarily the most technical. They're the ones who instinctively ask: why am I doing this by hand?
The Wave of AI-Driven Layoffs
Block cut half their workforce. Accenture identified who wasn't going to make it. Coinbase gave everyone a year to adopt ChatGPT, then fired those who didn't. The pattern is clear: organizations are moving from asking 'can AI do this?' to assuming it can and cutting accordingly. The question isn't whether this will happen to your industry — it's whether you'll be on the right side of it.
Beyond the Hype Cycle
Every new technology goes through a hype cycle, but AI's impact on day-to-day work is already measurable. The organizations consuming the most tokens aren't just experimenting — they're restructuring around what's possible. First-mover advantage is real: OpenAI's early dominance means the habits forming now will define workflows for years.
Questions We Explore
- ▸How do I identify which roles in my organization are most affected by AI?
- ▸What does the automation mindset look like in practice?
- ▸How do I measure whether AI adoption is actually improving outcomes?
- ▸What's the difference between using AI as a tool and restructuring around it?
Explore Other Topics
Workforce Strategy
Strategic approaches to building, retaining, and modernizing teams when AI changes what work looks like every quarter.
Technology Leadership
What it takes to lead technology organizations through the most significant shift since the internet.
Operational Excellence
The intersection of proven operational discipline and emerging AI capabilities — and why treating people like machines fails when actual machines show up.